Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Кластерный рандомизированный дизайн с множественными базовыми линиями× | Кластерное рандомизированное контролируемое исследование× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s | 1978–1980s |
| Автор метода≠ | Extension of Baer, Wolf & Risley (1968) multiple baseline; cluster adaptation by Murray and colleagues (1990s) | Cornfield (1978); systematised by Donner and colleagues (1980s) |
| Тип≠ | Experimental design (single-subject / small-N with cluster randomization) | Experimental design |
| Основополагающий источник≠ | Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120424 | Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340652978 |
| Другие названия | CR-MBD, cluster-randomized MBD, group-randomized multiple baseline, multilevel multiple baseline design | cluster RCT, group-randomized trial, community randomized trial, cluster-randomized experiment |
| Связанные≠ | 5 | 4 |
| Сводка≠ | The cluster randomized multiple baseline design combines cluster-level random assignment with the logic of the multiple baseline design. Intact groups — such as classrooms, schools, or clinics — are randomly assigned to receive an intervention at staggered time points. This preserves the within-unit repeated-measure logic of the multiple baseline while adding the causal warrant of random assignment at the cluster level. | A cluster randomized controlled trial (cluster RCT) is an experimental design in which intact social or organisational groups — such as schools, clinics, villages, or workplaces — are randomly assigned to treatment conditions rather than individual participants. Outcomes are still measured at the individual level, but the unit of randomization is the cluster. This design is essential when an intervention is delivered to whole groups, when there is a risk of contamination between participants in the same setting, or when individual randomization is logistically or ethically impractical. |
| ScholarGateНабор данных ↗ |
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